Practice Relationship to DP - 8.3.3 | 8. Non-Parametric Bayesian Methods | Advance Machine Learning
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Describe the Chinese Restaurant Process in your own words.

πŸ’‘ Hint: Think about a scenario in a restaurant.

Question 2

Easy

What role does the concentration parameter (Ξ±) play in the CRP?

πŸ’‘ Hint: Consider how it affects choices.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does the Chinese Restaurant Process (CRP) represent?

  • A metaphor for clustering
  • A cooking recipe
  • A statistical error
  • None of these

πŸ’‘ Hint: Think about what CRP is applied to.

Question 2

True or False: In CRP, a higher concentration parameter (Ξ±) would discourage the formation of new clusters.

  • True
  • False

πŸ’‘ Hint: Recall how Ξ± affects decision-making.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given 4 tables with 2, 3, 5, and 1 customer(s) respectively and a concentration parameter Ξ± = 3, calculate the probability of a new customer joining an existing table versus starting a new one.

πŸ’‘ Hint: Use the formulas for each table and sum the probabilities.

Question 2

Discuss how changing the concentration parameter (Ξ±) affects the diversity of clusters in a dataset using CRP.

πŸ’‘ Hint: Think about the dynamics of clustering relative to Ξ±.

Challenge and get performance evaluation